Senior Staff Machine Learning Engineer, (ML Underwriting)

AffirmAffirm·Remote(Remote Canada)
AI & Machine Learning
Excel

WFA Digital Insight

As demand for machine learning specialists skyrockets, Affirm's commitment to transparency and inclusivity sets them apart. With Excel skills in high demand, candidates should be prepared to showcase expertise in advanced modeling approaches and technical strategy. Before applying, consider Affirm's unique approach to financial services and how your skills can drive high-impact innovation.

Job Description

About the Role

Affirm is seeking a Senior Staff Machine Learning Engineer to join their innovative ML team. The team is dedicated to revolutionizing financial services with transparency and inclusivity at its core, utilizing advanced machine learning techniques for responsible and accessible financial products.

Responsibilities

  • Define and drive multi-year technical strategy for machine learning across Affirm, ensuring alignment with company-wide priorities and influencing partner teams and platforms.
  • Lead the design, implementation, and scaling of advanced ML systems, setting the architectural direction for complex initiatives and ensuring systems remain reliable and extensible.
  • Partner with ML Platform, product, engineering, and risk leadership to shape long-term modeling capabilities and guide infrastructure evolution for next-generation ML methods.
  • Provide broad technical leadership across the ML organization, mentoring senior engineers and spreading ML expertise through documentation and guidance.

How to Stand Out

  • Tip: Showcase your expertise in machine learning and technical strategy by highlighting specific projects and accomplishments in your resume and cover letter.
  • Tip: Be prepared to discuss your experience with advanced modeling approaches and how you've driven high-impact innovation in previous roles.
  • Tip: Familiarize yourself with Affirm's unique approach to financial services and be prepared to discuss how your skills align with their mission.
  • Tip: Consider creating a portfolio that demonstrates your technical skills and ability to drive complex initiatives.
  • Tip: Be prepared to negotiate salary based on your experience and skills, and consider factors such as remote work benefits and company culture.

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